计算机工程2011，Vol.37Issue(10)：202-203,206,3.DOI:10.3969/j.issn.1000-3428.2011.10.070
基于模糊率的FCM自适应图像分割方法
Adaptive FCM Method for Image Segmentation Based on Fuzziness Rate
摘要
Abstract
An adaptive FuzzyC-Means(FCM) method for image segmentation based on fuzziness rate is proposed.It automatically determines the proper number of fuzzy clustering by utilizing the gradient detection method of wave trough and peak.Accurate original cluster centers are acquired by utilizing fuzzy threshold method.A novel objective function is established which contains feature information and spatial information.Experimental results show that the method has fast segmentation speed and high segmentation accuracy, and has stronger robustness.关键词
模糊聚类/图像分割/模糊阈值/邻域信息/鲁棒性Key words
fuzzy clustering/ image segmentation/ fuzzy threshold/ neighbor information/ robustness分类
信息技术与安全科学引用本文复制引用
龚劬,权佳成..基于模糊率的FCM自适应图像分割方法[J].计算机工程,2011,37(10):202-203,206,3.基金项目
国家自然科学基金资助项目(60972104) （60972104）
